126 to 135 of 135 Model Context Protocol Jobs in England

Data Cloud — capable of architecting Finance AI scenarios and leading PoC-to-production delivery. Agentic AI literacy: Understanding of multi-agent orchestration, A2A/MCP interaction patterns, and how Joule agents automate end-to-end Finance workflows — the ability to translate this into business language for Finance stakeholders. Business case … knowledge of SAP Business Data Cloud and its Finance Intelligence, Spend Intelligence, and Cloud ERP Intelligence intelligent applications. Exposure to LLMOps/MLOps pipelines — model deployment, monitoring, and lifecycle management in an enterprise SAP context. Our Package An annual on-target bonus of up to 15% (personal and company ...

infrastructure to scale impact beyond individual partnerships. Responsibilities Serve as a deep technical partner to mission‐driven organizations through advising on evals, agent architectures, context engineering, cost optimization, and more. Provide hands‐on support … partner engineering teams through pair programming, prototyping, and code contributions that accelerate their development. Develop public goods infrastructure that benefits entire ecosystems through benchmarks, MCP’s, and Agent Skills. Identify challenges unique to social impact partners, and contribute findings and improvements back to product, engineering, and research. Create technical presentations ...

journey: onboarding workshops, developer hackathons, live troubleshooting, executive security reviews, adoption working sessions. Build and ship working software (Claude Code plugins, agents, sub-agents, MCP integrations, Cowork skills) both as customer deliverables and as reusable field assets. Drive adoption of the Claude Code capabilities that make the product stick … agents, skills, hooks, MCP, headless mode, managed settings) and turn new capabilities into field-ready demos and guides within days of release. Own enterprise deployment and identity conversations: SSO (SAML/OIDC), SCIM provisioning, role, seat, and spend-limit management, sandbox and permission design. Sit credibly across from CISOs ...

e.g., Kubernetes) Strong debugging skills and the ability to navigate performance/security tradeoffs in production systems Comfort with ambiguity, and the ability to context-switch between reactive incident work and proactive product development Nice To Haves: Experience as a founder … early engineer at an infrastructure-focused startup, owning a product end-to-end Familiarity with LLM agents and agent frameworks (e.g., OpenHands, Agent2Agent, MCP) Experience running secure workloads in multi-tenant or untrusted environments (e.g., FaaS, CI sandboxes, remote notebooks) Exposure to snapshotting and restore techniques (e.g., CRIU, VM snapshots ...

Description: You will lead a small, high-output agentic engineering pod migrating AWS Lambda applications to Azure. Inspired by OpenAIs Harness Engineering model, your primary job is not writing code it is designing the harness: the scaffolding, constraints, and feedback loops that let Claude Code agents do reliable work. … coach: 70% building harness, 30% guiding the pod. Key Responsibilities Own and evolve the claude_code_forge scaffolding repo structure, CLAUDE.md templates, creating agents, MCP tool configs, and custom slash commands Decompose the AWS estate into depth-first migration work-packages with clear acceptance criteria agents can validate Enforce architecture ...

jobs Vercel does for many customers through the Solutions Architecture function. On your accounts, you do them deeper, more often, and with sustained context that a generalist SA can't match. The best TAMs save customers more than the cost of the engagement through this work alone. Scope … tools company (AWS, Cloudflare, MongoDB, Snowflake, Datadog, GitHub, etc.). Have hands‐on experience with AI agent development, particularly using the Vercel AI SDK, MCP servers, or similar frameworks. Have led FinOps or cloud cost‐optimization engagements at scale. Have run an annual technical roadmap workshop or “Well‐Architected Review ...

Doing Define the vision, strategy and roadmap for LSEG’s AI Core Platform. Own product direction for enterprise AI platform capabilities including AI Gateway, MCP SDK, IAM, orchestration, scale and shared platform services. Partner with Engineering to deliver secure, scalable and highly available platform capabilities. Establish platform standards, APIs … Bring Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems or equivalent experience. Strong understanding of AI platforms, LLM ecosystems, MCP Servers, API gateways, orchestration frameworks and enterprise security. Significant experience in Product Management, Platform Product Management or Developer Platform products. Experience delivering enterprise software platforms, APIs ...

London Stock Exchange Group is seeking a Lead ML Engineer to shape the next generation of enterprise AI platforms. You will design MCP servers and tools that expose internal systems to AI agents, implement skills that orchestrate tools and data, and collaborate with product teams to ensure governance, security … scalable performance across the MCP ecosystem. The role emphasizes building and integrating agentic capabilities with LSEG AI Assist, QAS, and MCP gateway, while working with #J-18808-Ljbffr ...

this in an AI-first engineering culture. Every engineer has Claude Code with unlimited tokens and a sophisticated ecosystem of MCP servers, skills, and shared context. You'll push the boundaries of what's possible with AI-assisted development, both personally and through how you set up your teams. What … even further even faster. Every employee gets Claude Code with unlimited Opus 4.6 tokens and 1M context. We're investing heavily in platform capabilities (MCP servers, skills, shared tooling) that make AI‐assisted development genuinely transformative. You'll be at the sharp edge of figuring out what this means ...

this in an AI-first engineering culture. Every engineer has Claude Code with unlimited tokens and a sophisticated ecosystem of MCP servers, skills, and shared context. You\'ll push the boundaries of what\'s possible with AI-assisted development, both personally and through how you set up your teams. What … even further even faster. Every employee gets Claude Code with unlimited Opus 4.6 tokens and 1M context. We\'re investing heavily in platform capabilities (MCP servers, skills, shared tooling) that make AI-assisted development genuinely transformative. You\'ll be at the sharp edge of figuring out what this means ...